SoK: Collusion-resistant Multi-party Private Set Intersections in the Semi-honest Model

Jelle Vos*, Mauro Conti, Zekeriya Erkin

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)

Abstract

Private set intersection protocols allow two parties with private sets of data to compute the intersection between them without leaking other information about their sets. These protocols have been studied for almost 20 years, and have been significantly improved over time, reducing both their computation and communication costs. However, when more than two parties want to compute a private set intersection, these protocols are no longer applicable. While extensions exist to the multi-party case, these protocols are significantly less efficient than the two-party case. It remains an open question to design collusion-resistant multi-party private set intersection (MPSI) protocols that come close to the efficiency of two-party protocols. This work is made more difficult by the immense variety in the proposed schemes and the lack of systematization. Moreover, each new work only considers a small subset of previously proposed protocols, leaving out important developments from older works. Finally, MPSI protocols rely on many possible constructions and building blocks that have not been summarized. This work aims to point protocol designers to gaps in research and promising directions, pointing out common security flaws and sketching a frame of reference. To this end, we focus on the semi-honest model. We conclude that current MPSI protocols are not a one-size-fits-all solution, and instead there exist many protocols that each prevail in their own application setting.

Original languageEnglish
Title of host publicationProceedings - 45th IEEE Symposium on Security and Privacy, SP 2024
PublisherIEEE
Pages465-483
Number of pages19
ISBN (Electronic)9798350331301
DOIs
Publication statusPublished - 2024
Event45th IEEE Symposium on Security and Privacy, SP 2024 - San Francisco, United States
Duration: 20 May 202423 May 2024

Publication series

NameProceedings - IEEE Symposium on Security and Privacy
ISSN (Print)1081-6011

Conference

Conference45th IEEE Symposium on Security and Privacy, SP 2024
Country/TerritoryUnited States
CitySan Francisco
Period20/05/2423/05/24

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • Privacy-Enhancing Technologies
  • Private Set Intersections
  • Systematization of Knowledge

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